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Model Scanner

Enhance Model Security

The Challenges

Adapting to AI

In the ever-evolving world of machine learning, new challenges arise often. Public repositories introduce threats, risking the download of models laden with concealed dangers. Simultaneously, organizations grapple with uncertainties surrounding model vulnerabilities, lacking effective risk management. Bottlenecks in model integration impede seamless workflows, escalating friction in the machine learning lifecycle. Adapting strategies is imperative for navigating these multifaceted challenges.

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Public Repository Risks

The risk of threats associated with downloading models from public repositories

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Lack of Visibility

Limited visibility into potential risks associated with machine learning models

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Model Integration Bottlenecks

Inefficiency in the machine learning model lifecycle causes friction in experimentation, training, and deployment

Our Approach

Detect, respond, & innovate

HiddenLayer’s Model Scanner enables you to secure your digital supply chain before deploying them, mitigating the risk of adversarial code on your network. With the Model Scanner, you can identify and remediate potential risks – ensuring a safe and trusted environment.

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Enhanced Security

Peace of Mind

You don’t know what you don’t know. Get enhanced security as the Model Scanner identifies and eliminates potential vulnerabilities in machine learning models from public repositories.

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Improved Mitigation

Save Time

….with insights into malicious code, enabling informed decisions to mitigate risks effectively and maintain a secure ML operational environment.

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Accelerated Innovation

Prioritize Essentials

Focus on innovation while benefiting from a secure digital supply chain, confidently downloading models from public repositories, and enhancing efficiency in ML operations.

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Protecting your digital supply chain by detecting adversarial or malicious code, and ensuring your ML models are secure for deployment.

Learn more about what Model Scanner can offer.

Get Datasheet

85%

of companies are using pre-trained models from public repositories to jumpstart innovation

According to recent HiddenLayer research

Why HiddenLayer

The Ultimate Security for AI Platform

HiddenLayer, a Gartner recognized AI Application Security company, is a provider of security solutions for artificial intelligence algorithms, models & the data that power them. With a first-of-its-kind, non-invasive software approach to observing & securing AI, HiddenLayer is helping to protect the world’s most valuable technologies.

  • Malware Analysis — Scans AI Models for embedded malicious code that could serve as an infection vector & launchpad for malware
  • Model Integrity — Analysis of AI Model’s layers, components & tensors to detect tampering or corruption
  • Catalog a Known-Good State of your AI Models as a baseline for identifying future tampering
  • Uses a combination of Supervised Learning, Unsupervised Learning, Dynamic/Behavioral Analysis and Static Analysis to deliver detection for a library of adversarial machine learning attacks
  • Supports a variety of AI Model file types: Pickle, Dill, Joblib, Numpy, Zip, and ONNX

The Latest From HiddenLayer

Read more in our full research section or sign up for our occasional email newsletter and we’ll make sure you’re first in the know.

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How can we secure your AI?

Start by requesting your demo and let’s discuss protecting your unique AI advantage.

Book a demo Contact Us

HiddenLayer, a Gartner recognized Cool Vendor for AI Security, is the leading provider of Security for AI. Its security platform helps enterprises safeguard the machine learning models behind their most important products. HiddenLayer is the only company to offer turnkey security for AI that does not add unnecessary complexity to models and does not require access to raw data and algorithms. Founded by a team with deep roots in security and ML, HiddenLayer aims to protect enterprise’s AI from inference, bypass, extraction attacks, and model theft. The company is backed by a group of strategic investors, including M12, Microsoft’s Venture Fund, Moore Strategic Ventures, Booz Allen Ventures, IBM Ventures, and Capital One Ventures.

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